Instructions to use shatrunjai/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shatrunjai/regular-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("shatrunjai/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("shatrunjai/regular-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shatrunjai/regular-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/shatrunjai/regular-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shatrunjai/regular-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shatrunjai/regular-segmentation-model/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- 43655381e028b84eeb4b2b219bbb297311939a4c9b21e67f333aa7b99b9d7ccd
- Size of remote file:
- 14.9 MB
- SHA256:
- b52673494a885d9c10b4c7c71f4e7eae7d5d3c4ac653858e442ec9e2d886c15b
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